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Effects of hyperbaric oxygen on tissue-specific aging and senescence in mice and human stromal cells

GSE296209 Mus musculus (mouse) RNA-seq (gene expression) 45 samples Submitted 2025/05/09 Platform GPL34290Platform GPL24676
At a glance

RNA-seq (gene expression) · mouse · 45 samples

What it is
RNA-seq (gene expression)Gene activity measured by sequencing. The summary does not mention single-cell work, so this is most likely bulk: one average per sample, the usual starting point for comparing groups.
Organism
Mus musculus (mouse)
Samples
45 samples: 12 conditions, mostly with about 4 replicates eachGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
This study investigates the effects of hyperbaric oxygen (HBO) on cellular senescence and aging-related phenotypes. In naturally aged mice, HBO treatment reduced systemic senescence burden and reversed aging-related transcriptomic signatures in skin, liver, and kidney tissues. Additionally, single-session HBO exposure was shown to preferentially suppress SASP propagation in human stromal cells. This dataset includes transcriptomic profiles of skin, liver, and kidney tissues from young, aged, and HBO-treated aged mice, as well as human primary prostate stromal cells (PSC27).
This dataset
Open GSE296209 in finder → Find more RNA-seq datasets →
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓
2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE296209_RAW.tar (it can run to tens of gigabytes).

All supplementary files ↗ Whole study · RAW.tar ↓
3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

Raw reads on ENA ↗

What the files usually look like: For RNA-seq the counts are usually a table among the supplementary files (look for 'counts', 'expression', 'FPKM' or 'TPM' in the file name). The series matrix of a sequencing study is sometimes nearly empty.

Also filed as BioProject PRJNA1258211 and SRA study SRP582906. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗
Study design
12 conditions, mostly with about 4 replicates each
Skin from young mice, 2-month-old, biol ×4 Skin from aged mice, 21-month-old, biol ×4 Skin from aged mice following HBO treatment, … ×4 Kidney from young mice, 2-month-old, biol ×4 Kidney from aged mice, 21-month-old, biol ×4 Kidney from aged mice following HBO treatment… ×4 Liver from aged mice, 21-month-old, biol ×4 Liver from aged mice following HBO treatment,… ×4 +5 more

Supports a between-group comparison across 44 samples.

How we read this: 12 replicated groups read from 45 sample titles; they account for 44 of them. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 5 more — browse all 45 samples with per-sample file links →

Datasets on a similar topic

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.